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Apache Flume Hadoop for Big Data Analytics F lume is a data ingestion tool in the Hadoop world. Flume basically collects, aggregates and moves large amounts of streaming data into centralized data stores such as HDFS. It is primarily used for log aggregation from various sources and then finally pushed to HDFS. I give you one real-world example: suppose amazon wants to analyse customer behaviour from a particular region. It has a huge amount of log database assignment help which is getting generated from the activity of users on amazon website. So, this log or even data getting generated needs to be ingested into HDFS and to capture this type of data that is generating in real-time flume is an appropriate tool. Flume is basically ingesting streaming data into HDFS means designed to capture data like real-time or streaming data then channel it to HDFS for storage and subsequent processing. Each data item captured is considered an event so Flume collects the data or events and a...